Led a team of 10 to deliver complex software implementations, ensuring compliance with U.S. Department of Transportation regulations for electronic logging.

Researched and developed, a first in Japan! full automation of transportation operations at a lodging facility using unmanned delivery robots during COVID-19, a WebRTC application to stream Automated Guided Vehicle (AGV) camera feeds to a vue.js-based web application. Utilized WebRTC, Janus Gateway, Android, Python, and Nvidia Jetson Nano for efficient real-time video data streaming.

Led the development of a cloud-based SaaS telematics platform that integrated real-time data from various IoT devices for fleet management system (FMS). Processessing GPS and sensor data for over 5000 vehicles, and integrates live camera video streams. Managed a global client base of over 20 organizations across Japan, the USA, and India, coordinating cross-functional teams and delivering solutions that meet high-performance and scalability requirements

Spearheading the firmware development of the IM-830 product, a low-powered IoT device with advanced features including GPS, LTE, 4G, and various sensors. Utilized technologies such as C, FOTA, AWS S3, Python, Kibana, Nordic Semiconductor NCS 1.9.1, nrf9160 SoC, and various communication protocols (SPI, I2C, UART, TCP, UDP, HTTPS).

Developed a react-based web application to manage OKICA IC card-related business, enabling seamless payments for Yui Rail and Bus service in Okinawa, Japan.

Led the development of an Interactive Voice Response (IVR) payment system, collaborating with Group companies to ensure seamless integration and deployment. Managed the project using AWS services and Python, including AWS Connect, DynamoDB, S3, Secrets Manager, Lambda, SNS, CloudWatch, API Gateway, and Boto3 SDK, to optimize and streamline payment processes.

Developed a react-based web app GTFS Editor to manage public transportation schedules and geographic information, streamlining the publication and consumption of transit data through a standardized format.

Developed an Android application that enables taxi drivers to view real-time AI-based taxi demand forecasts on their in-car devices, and also collaborated on designing the architecture and building both the Android and React-based web applications.

Developed an Automotive Taxi Driver application platform for Android tablets, leveraging 99% Kotlin to integrate seamlessly with the IM-870 product, optimizing taxi operations.

Developed an Android application enabling taxi drivers to make IP calls using Twilio SDK, including designing the new architecture and implementing the app.

Developed an AI-powered co-pilot platform that converts Android devices into a modular AR (Augmented reality) navigation tool. Designed heads-up navigation with turn-by-turn directions and customizable objects, improving driver safety through real-time scene classification, detection, and segmentation. Facilitated the visualization of road features, signs, traffic lights, and critical events on a customizable map.

Designed and automated a Resource Monitoring System for over 500 AWS cloud servers, tracking CPU, memory, and disk utilization using Zabbix API, Python 3, Selenium, and openpyxl. Delivered scheduled reports to IT operations, significantly reducing manual workload.

Configured a Raspberry Pi as a Wi-Fi router using hostapd + dnsmasq with nftables NAT, bridging wlan0↔eth0 to provide secure, DHCP-enabled internet access.